Software Alternatives, Accelerators & Startups

Row Zero VS gitmbed

Compare Row Zero VS gitmbed and see what are their differences

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Row Zero logo Row Zero

Row Zero is the best spreadsheet for big data. Row Zero has all the spreadsheet features you know and love, but can handle 1+ billion rows, process data faster, connect live to your data warehouse and supports sharing.

gitmbed logo gitmbed

Social media better with gitmbed! Embeds in your posts/READMEs where they would normally be blocked!
  • Row Zero 31 million rows in a spreadsheet
    31 million rows in a spreadsheet //
    2024-04-25
  • Row Zero Import from data warehouses
    Import from data warehouses //
    2024-04-25
  • Row Zero Pivot tables
    Pivot tables //
    2024-04-25
  • Row Zero point and click graphing
    point and click graphing //
    2024-04-25
  • Row Zero write and execute python
    write and execute python //
    2024-04-25

Row Zero is the best spreadsheet for big data. It enables operations, finance, marketing, and other business teams to securely analyze and work with big data sets in a familiar and flexible spreadsheet. Row Zero can open 1 billion row data sets, connect directly to data warehouses, and support multi-user collaboration to make working with hosted data easy for anyone with spreadsheet skills. Because Row Zero spreadsheets run in the cloud, they eliminate the security risk of CSV exports and locally stored Excel spreadsheets. Row Zero closes the last-mile analysis gap helping business teams take insights from dashboards and turn them into actionable results.

Row Zero Features:

Speed and Performance - Row Zero is a spreadsheet that leverages cloud computing strategies to enable users to import, open, and interact, cell-by-cell, with 1 billion row data sets, like they would in Excel and Google Sheets but on a larger scale.

Connectivity - Row Zero’s native connections to data warehouses provide efficiency gains for business teams who, instead of building one-off static analyses, like financial models and demand forecasts, can build them once using a connected table and schedule automated refresh. Row Zero also enables saving data from the spreadsheet to the data warehouse.

Collaboration - In order for data analysis to be valuable the work must be shared across teams, business units, and organizations. For this reason, Row Zero workbooks can be shared with viewer and editor permissions and support real-time collaboration for group work and facilitating efficient presentations.

Governance – Row Zero runs in the cloud, enables sharing permissions (viewer and editor), and enforces data permissions from the data warehouses, eliminating the security risk of downloaded CSVs and emailed .xlsx files.

Security - Row Zero is SOC2 Type II certified and HIPAA compliant. The SOC II report and a BAA are available upon request.

  • gitmbed Landing page
    Landing page //
    2023-07-25

Row Zero

$ Details
freemium $10 / Monthly (Pro)
Release Date
2024 February
Startup details
Country
United States
State
WA
City
Seattle
Founder(s)
Breck Fresen, Nick End, William Littlefield, Grant Slatton
Employees
10 - 19

gitmbed

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-

Row Zero features and specs

  • Spreadsheet functions
    Use all the same spreadsheet functions available in Excel and Google Sheets.
  • Performance
    Upload billion row data sets and work with them in a spreadsheet.
  • Collaboration
    Share with viewer and editor permissions and use real-time collaboration.
  • Connectivity
    Connect to you cloud data warehouse to import data directly to the spreadsheet.
  • Pivot tables
    Pivot and analyze large data sets.
  • Graphing
    A point and click graphing UI.
  • Python
    Write python in the code window and execute it in the spreadsheet.
  • Security
    Eliminate the security risk of CSV downloads and emailed .xlsx files. Row Zero keeps your sensitive data in the cloud.

gitmbed features and specs

  • Seamless Integration
    Gitmbed allows for easy embedding of GitHub repositories into various platforms, providing seamless integration with different environments.
  • User-Friendly
    The tool is designed to be intuitive, making it accessible for users with varying levels of technical expertise.
  • Real-Time Updates
    Gitmbed provides real-time updates from the source repository, ensuring that embedded content is always current.
  • Customizable
    Users can customize the appearance and functionality of embedded repositories to suit their specific needs.

Possible disadvantages of gitmbed

  • Dependency on GitHub
    The effectiveness of Gitmbed relies heavily on GitHub's API and availability, which could be a limitation if issues arise with GitHub.
  • Limited Use Cases
    While Gitmbed is great for embedding repositories, its use cases are somewhat limited to platforms and situations where such a feature is needed.
  • Potential Security Risks
    Embedding repositories from GitHub could pose security risks, especially if the embedded content is not thoroughly reviewed.
  • Performance Concerns
    Depending on the size and complexity of the repository, embedding it could lead to performance issues on platforms with limited resources.

Analysis of gitmbed

Overall verdict

  • GitHub is a solid, industry-standard platform for hosting Git repositories and collaborating on code, backed by robust infrastructure, extensive integrations, and a massive community.

Why this product is good

  • Widely adopted, industry-standard platform trusted by millions of developers and organizations
  • Excellent Git repository hosting with strong performance and reliability
  • Rich ecosystem including GitHub Actions for CI/CD, Issues, Projects, and Wikis
  • Strong collaboration features like pull requests, code review tools, and discussions
  • Free tier available for public and private repositories with generous limits
  • Large community and marketplace of third-party integrations and apps
  • Good security features including Dependabot, secret scanning, and code scanning
  • Well-documented API for automation and custom tooling

Recommended for

  • Individual developers hosting personal or open-source projects
  • Teams and organizations needing collaborative code management
  • Companies wanting integrated CI/CD pipelines via GitHub Actions
  • Open-source maintainers seeking community visibility and contributions
  • Educational institutions teaching version control and collaboration
  • Enterprises requiring scalable, secure code hosting with compliance options

Row Zero videos

Row Zero - The world's fastest spreadsheet

More videos:

  • Demo - Open Parquet files with Row Zero
  • Demo - Open a Big CSV with Row Zero
  • Demo - Connect Postgres to Row Zero
  • Demo - Connect Snowflake to Row Zero
  • Demo - Connect Databricks to Row Zero
  • Demo - Export data from a Row Zero spreadsheet to Databricks
  • Demo - Export data from a Row Zero spreadsheet to Snowflake

gitmbed videos

No gitmbed videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Row Zero and gitmbed)
Spreadsheets
100 100%
0% 0
JS
0 0%
100% 100
Productivity
100 100%
0% 0
Chrome Extensions
0 0%
100% 100

Questions & Answers

As answered by people managing Row Zero and gitmbed.

Why should a person choose your product over its competitors?

Row Zero's answer

Row Zero is the world's fastest spreadsheet, designed for big data sets. If a user already knows how to use a spreadsheet and needs to analyze or transform large data sets, Row Zero is the perfect tool. Data teams that serve large businesses can off-load ad-hoc and last mile analytics requests by enabling their business partners to work in Row Zero.

What makes your product unique?

Row Zero's answer

Row Zero's is a last mile analytics tool that enables business teams (marketing, operations, finance, etc...) to connect to cloud data warehouses and work with big data sets in a spreadsheet they already know how to use. BI tools are great for high level metric monitoring but the work initiated as a result of those dashboards needs to happen in a tool where business teams can see and interact with their data.

How would you describe the primary audience of your product?

Row Zero's answer

Business teams that need to work with big data sets but prefer a spreadsheet over writing SQL or rigid BI tools.

What's the story behind your product?

Row Zero's answer

Row Zero was born out of our own frustrations doing data analysis on big data sets. Excel and Google Sheets don't easily connect to cloud data warehouses and have small row limits. We needed to open multi-million row data sets and analyze them quickly. Row Zero is the highly performant tool we wish we'd had.

Which are the primary technologies used for building your product?

Row Zero's answer

  • Rust
  • Python
  • Amazon Web Services

User comments

Share your experience with using Row Zero and gitmbed. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Row Zero should be more popular than gitmbed. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Row Zero mentions (8)

  • ChatGPT for Excel
    Try https://rowzero.com ? We have written a much faster spreadsheet engine and regularly work with 10M+ row datasets. - Source: Hacker News / 5 months ago
  • I only use Google Sheets
    How large are you talking about? Have you tried https://rowzero.io? - Source: Hacker News / 11 months ago
  • 'I grew up with it': readers on the enduring appeal of Microsoft Excel
    You should check out Row Zero (https://rowzero.io). We launched on HN earlier this year. Our CSV handling is the best on the market. You can import multi GB csvs, we auto infer your format, and land your data in a full-featured spreadsheet that supports filter, sort, ctrl-F, sharing, graphs, the full Excel formula language, native Python, and export to Postgres, Snowflake, and Databricks. - Source: Hacker News / almost 2 years ago
  • Ask HN: What are you working on (August 2024)?
    I've been working on a better spreadsheet for a while now. https://rowzero.io is 1000x faster spreadsheet than Excel/Google Sheets. It looks and feels like those products but can open multi GB data sets, supports Python natively, and can also connect directly to Snowflake/Databricks/Redshift. - Source: Hacker News / about 2 years ago
  • My Thoughts on Python in Excel
    We built our spreadsheet (https://rowzero.io) from the ground up to integrate natively with Python. Bolting it on like Microsoft did, or as an add in like xlwings, just feels second class. To make it first class, we had to solve three hard problems: 1. Sandboxing and dependencies. Python is extremely unsafe to share, so you need to sandbox execution. There's also the environment/package management problem (does... - Source: Hacker News / about 2 years ago
View more

gitmbed mentions (1)

  • Submit Your Design Here and I will review it (Youtube video)
    In terms of HTML/CSS, I have https://github.com/flancast90/The-Vault (local serverless and encrypted file storage), https://github.com/flancast90/gitmbed (chrome extension for a better GitHub), https://github.com/flancast90/PennyPriceJS (price-finder tool), and my resume site/template (www.finnsoftware.net). Source: almost 5 years ago

What are some alternatives?

When comparing Row Zero and gitmbed, you can also consider the following products

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.

Equals - A next generation spreadsheet with SQL data connections

LeapRows - Analyze large CSV files instantly in your browser with LeapRows. No upload required. Experience lightning-fast data processing and automation with DuckDB-WASM technology.

OrcaSheets - Process billions of rows instantly on your local machine. OrcaSheets provides local-first data analytics with instant processing, enhanced security, and offline capabilities.

Quadratic - Infinite canvas spreadsheet for data science with Python, SQL, and formulas.